Mlxplore is a software for model pre-analysis, design and diagnosis, in order to build your model according to your data and the phenomena you would like to model. It is a powerful platform for creating human-readable model descriptions using the Mlxtran language, for the graphical exploration of your model, comparison with data, and for exploring the effect of individual parameters and covariate on your results. Mlxplore is not designed for advanced clinical trial simulation. For these tasks, please investigate Simulx, an advanced trial simulator integrated within the Monolix Suite.
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References in zbMATH (referenced in 1 article )
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- Lavielle, Marc: Mixed effects models for the population approach. Models, tasks, methods and tools. With contributions by Kevin Bleakley (2015)